A visualized credit retention method and system

Abstract

The application discloses a visual integral maintenance method and system, which comprises the following steps: collecting mutual inductor data to obtain a mutual inductor data set, performing filtering processing, and then transmitting the mutual inductor data set to a control end through a wireless mode; performing recovery control on the integral according to real-time collected integral output, recording the integral recovery times, and generating an integral direction change trigger signal when the integral recovery times reach a preset threshold; starting integral direction change, dynamically adjusting the parameter direction of the integral to obtain the integral parameter after direction adjustment; starting a tour optimization program, automatically adjusting the integral parameter, recording the optimal parameter searching process, and generating optimization result data; online visualizing and displaying the integral change curve according to the integral change process in the optimization result data, and solidifying the optimal PI parameter. Through the steps of collecting mutual inductor data, filtering transmission, integral recovery control, dynamic parameter adjustment, self-optimization, visual display and optimal PI parameter solidification, the application realizes accurate control and stable and efficient operation of power electronic equipment.

Description

Technical Field

[0001] This invention relates to the field of proportional-integral control technology for power electronic equipment, and more specifically, to a visual integral hold method and system. Background Technology

[0002] In the field of proportional-integral (PI) control for power electronic equipment, research on visualized integral hold typically involves using various sensors to collect key parameters of the power electronic equipment in real time, such as voltage and current data. Through specialized visualization software platforms, this data is transformed into intuitive graphs and charts, such as real-time parameter change curves and status diagrams. Simultaneously, a carefully designed integral hold algorithm is used to analyze and process the collected data. When the equipment's operating state changes, the integral hold mechanism maintains the integral value unchanged for a certain period according to preset rules, avoiding significant changes in the control signal due to parameter fluctuations and ensuring the stability of system control. Once the operating state stabilizes, normal integral calculation resumes, achieving precise PI control of the power electronic equipment. Its significance lies in effectively improving the accuracy and stability of power electronic equipment control, reducing equipment losses and operational failures caused by improper control, optimizing equipment performance, and improving power conversion efficiency. In the current context of widespread application of power electronic equipment and continuously increasing requirements for equipment performance and reliability, visualized integral hold is of great importance for ensuring the efficient and stable operation of power electronic equipment and meeting the power needs of different application scenarios.

[0003] Prior to this invention, existing visualization-based integral hold methods primarily relied on simple data acquisition devices to obtain equipment parameters and displayed the data using basic graphical tools. The integral hold algorithms were also relatively traditional. The technical challenge lies in accurately capturing the complex and ever-changing operating states of power electronic equipment. Under rapidly changing operating conditions, traditional integral hold algorithms are prone to problems such as integral saturation and response lag. Furthermore, the visualization interface struggles to intuitively reflect the dynamic process of integral hold and its close connection to actual control. The key lies in developing advanced integral hold algorithms that can adapt to complex operating conditions, optimizing the visualization interface to clearly present the principles and effects of integral hold, and enhancing the system's control capabilities for power electronic equipment under different operating conditions. Summary of the Invention

[0004] In view of the above problems, this invention proposes a visual integral hold method and system, which collects current transformer data, filters and transmits it, combines integral recovery control, dynamic parameter adjustment and self-optimization, and then performs visual display and fixation of the optimal PI parameters to achieve precise control and stable and efficient operation of power electronic equipment.

[0005] According to a first aspect of the present invention, a method for visualizing integral preservation is provided, comprising:

[0006] The current transformer dataset is filtered, and the filtered data is transmitted wirelessly to the control terminal.

[0007] Based on the real-time collected integral output, recovery control is performed on the integral and the number of integral recovery is recorded. When the number of integral recovery reaches a preset threshold, an integral direction change trigger signal is generated.

[0008] Based on the integral direction change trigger signal, the integral direction change is initiated, and the direction of the integral parameters is dynamically adjusted to obtain the integral parameters after the direction adjustment.

[0009] Based on the integral parameters after the direction adjustment, the optimization program is started, the integral parameters are automatically adjusted and the process of finding the optimal parameters is recorded, and optimization result data is generated.

[0010] Based on the integral change process in the optimization result data, the integral change curve is visualized online, and the optimal PI parameter is fixed.

[0011] Furthermore, the process of collecting and storing all the current transformer data to obtain a current transformer dataset specifically includes:

[0012] Confirm the direction of the current collected by the current transformer;

[0013] The transformer ratio is set according to the current direction, data is collected, and stored.

[0014] Furthermore, the step of filtering the current transformer dataset and transmitting the filtered data wirelessly to the control terminal specifically includes:

[0015] Filter all the data;

[0016] Data is transmitted online via IoT devices.

[0017] Furthermore, based on the real-time collected integral output, recovery control is performed on the integral and the number of integral recovery cycles is recorded. When the number of integral recovery cycles reaches a preset threshold, an integral direction change trigger signal is generated, specifically including:

[0018] Real-time acquisition of integral output to determine the rate of change of integral deviation;

[0019] If the integral value satisfies the first calculation formula, then the integral is reset to zero;

[0020] Record the number of integral recovery attempts. If the number of integral recovery attempts for the current integral parameter satisfies the second calculation formula, then initiate integral directional change.

[0021] First calculation formula:

[0022] PB > 0;

[0023] PC > Plim;

[0024] Where PB is the integral rate of change, PC is the integral deviation, and Plim is the integral limit;

[0025] The second calculation formula is:

[0026] JH = 3;

[0027] Where JH represents the number of integral recovery attempts.

[0028] Furthermore, the step of initiating integral direction change based on the integral direction change trigger signal, dynamically adjusting the direction of the integral parameters, and obtaining the integral parameters after direction adjustment, specifically includes:

[0029] After initiating the integral directional change, the integral is dynamically adjusted and multiplied by a negative sign after the integral output;

[0030] After multiplying the integral output by a negative sign, a command to start optimization is issued.

[0031] Furthermore, based on the integrated parameters adjusted in the direction, the process of initiating the criterion optimization program, automatically adjusting the integrated parameters, recording the optimal parameter search process, and generating optimization result data specifically includes:

[0032] The limit value of the integral is adjusted from 0 to 10000, and the corresponding optimization curve is formed in sequence.

[0033] Store all optimization curves and automatically optimize parameters.

[0034] Furthermore, the step of visually displaying the integral change curve online based on the integral change process in the optimization result data and fixing the optimal PI parameter specifically includes:

[0035] Based on the final recorded integral change process, the optimal pi parameter is selected for long-term solidification.

[0036] The process of integral change is visualized online.

[0037] According to a second aspect of the present invention, a visual integral retention system is provided, the system being used to implement the method described above, the system comprising:

[0038] The data acquisition module is used to collect and store all the data from the current transformers to obtain the current transformer dataset.

[0039] The data transmission module is used to filter the data set of the current transformer and transmit the filtered data to the control terminal wirelessly.

[0040] The integral recovery module is used to perform recovery control on the integral based on the real-time acquired integral output and record the number of integral recoverys. When the number of integral recoverys reaches a preset threshold, an integral direction change trigger signal is generated.

[0041] The integral direction-changing module is used to initiate integral direction changing according to the integral direction-changing trigger signal, dynamically adjust the direction of the integral parameters, and obtain the integral parameters after direction adjustment.

[0042] The integral visualization self-adjustment module is used to start the optimization program based on the integral parameters after the direction adjustment, automatically adjust the integral parameters and record the optimal parameter search process, and generate optimization result data.

[0043] The long-term operation module is used to visualize the integral change curve online based on the integral change process in the optimization result data, and to fix the optimal PI parameters.

[0044] According to a third aspect of the present invention, a computer-readable storage medium is provided that stores computer program instructions thereon, which, when executed by a processor, implement the method as described in any one of the first aspects of the present invention.

[0045] According to a fourth aspect of the present invention, an electronic device is provided, including a memory and a processor, wherein the memory is used to store one or more computer program instructions, wherein the one or more computer program instructions are executed by the processor to implement the method described in any one aspect of the present invention.

[0046] The technical solutions provided by the embodiments of the present invention may include the following beneficial effects:

[0047] In this solution, by collecting transformer data in real time, dynamically adjusting integral parameters and performing self-optimization, combined with a precise integral recovery control strategy, the problems of integral saturation and response lag can be effectively avoided, thereby significantly improving the control accuracy of power electronic equipment and ensuring the stability of equipment operation.

[0048] This solution utilizes wireless data transmission and online visualization to intuitively present the integral change process, while also fixing the optimal PI parameters. This allows operators to monitor equipment status in real time, quickly obtain key information, and significantly improve equipment management efficiency and maintenance convenience.

[0049] Other features and advantages of the invention will be set forth in the description which follows, and will be apparent in part from the description, or may be learned by practicing the invention. The objects and other advantages of the invention may be realized and obtained by means of the structures particularly pointed out in the written description, claims, and drawings.

[0050] The technical solution of the present invention will be further described in detail below with reference to the accompanying drawings and embodiments. Attached Figure Description

[0051] To more clearly illustrate the technical solutions in the embodiments of the present invention, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0052] Figure 1 This is a flowchart of a visualization integral preservation method according to an embodiment of the present invention.

[0053] Figure 2 This is a flowchart illustrating the acquisition and storage of all current transformer data in a visual integral preservation method according to an embodiment of the present invention.

[0054] Figure 3 This is a flowchart illustrating the wireless transmission of data based on data acquisition in a visualization integral preservation method according to an embodiment of the present invention.

[0055] Figure 4 This is a flowchart illustrating an embodiment of the present invention of a visual integral preservation method for performing integral recovery control based on real-time acquired integral output and recording the number of integral recovery cycles.

[0056] Figure 5 This is a flowchart illustrating the process of dynamically adjusting the direction of the integration parameters after initiating an integration direction change, according to an embodiment of the present invention, in a visual integration preservation method.

[0057] Figure 6 This is a flowchart illustrating the process of automatically performing visual integration adjustment, forming the optimal parameter search process, and recording it in a visual integration preservation method according to an embodiment of the present invention.

[0058] Figure 7 This is a flowchart illustrating the process of integral change based on the final recorded data, and its online visualization, in a method for visualizing integral preservation according to an embodiment of the present invention.

[0059] Figure 8 This is a structural diagram of a visual integral preservation system according to an embodiment of the present invention.

[0060] Figure 9 This is a structural diagram of an electronic device according to one embodiment of the present invention. Detailed Implementation

[0061] In some of the processes described in the specification, claims, and accompanying drawings of this invention, multiple operations appearing in a specific order are included. However, it should be clearly understood that these operations may not be executed in the order they appear herein, or may be executed in parallel. The operation numbers, such as 101, 102, etc., are merely used to distinguish different operations and do not represent any execution order. Furthermore, these processes may include more or fewer operations, and these operations may be executed sequentially or in parallel. It should be noted that the descriptions such as "first," "second," etc., in this document are used to distinguish different messages, devices, modules, etc., and do not represent a sequential order, nor do they limit "first" and "second" to different types.

[0062] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0063] In the field of proportional-integral (PI) control for power electronic equipment, research on visualized integral hold typically involves using various sensors to collect key parameters of the power electronic equipment in real time, such as voltage and current data. Through specialized visualization software platforms, this data is transformed into intuitive graphs and charts, such as real-time parameter change curves and status diagrams. Simultaneously, a carefully designed integral hold algorithm is used to analyze and process the collected data. When the equipment's operating state changes, the integral hold mechanism maintains the integral value unchanged for a certain period according to preset rules, avoiding significant changes in the control signal due to parameter fluctuations and ensuring the stability of system control. Once the operating state stabilizes, normal integral calculation resumes, achieving precise PI control of the power electronic equipment. Its significance lies in effectively improving the accuracy and stability of power electronic equipment control, reducing equipment losses and operational failures caused by improper control, optimizing equipment performance, and improving power conversion efficiency. In the current context of widespread application of power electronic equipment and continuously increasing requirements for equipment performance and reliability, visualized integral hold is of great importance for ensuring the efficient and stable operation of power electronic equipment and meeting the power needs of different application scenarios.

[0064] Prior to this invention, existing visualization-based integral hold methods primarily relied on simple data acquisition devices to obtain equipment parameters and displayed the data using basic graphical tools. The integral hold algorithms were also relatively traditional. The technical challenge lies in accurately capturing the complex and ever-changing operating states of power electronic equipment. Under rapidly changing operating conditions, traditional integral hold algorithms are prone to problems such as integral saturation and response lag. Furthermore, the visualization interface struggles to intuitively reflect the dynamic process of integral hold and its close connection to actual control. The key lies in developing advanced integral hold algorithms that can adapt to complex operating conditions, optimizing the visualization interface to clearly present the principles and effects of integral hold, and enhancing the system's control capabilities for power electronic equipment under different operating conditions.

[0065] This invention provides a visualized integral retention method and system. This solution acquires transformer data, filters and transmits it, combines integral recovery control, dynamic parameter adjustment and self-optimization, and then visualizes and solidifies the optimal PI parameters, thereby achieving precise control and stable, efficient operation of power electronic equipment.

[0066] According to a first aspect of the present invention, a method for visualizing integral preservation is provided.

[0067] Figure 1 This is a flowchart of a visualization integral preservation method according to an embodiment of the present invention.

[0068] In one or more embodiments, preferably, the visual integral preservation method includes:

[0069] S101. Collect and store all current transformer data;

[0070] S102. Wirelessly transmit data based on the collected data;

[0071] S103. Perform integral recovery control based on the real-time acquired integral output, and record the number of integral recovery cycles;

[0072] S104. After starting the integral direction change, dynamically adjust the direction of the integral parameters;

[0073] S105. After starting the optimization process, the integral visualization adjustment is automatically performed to form the optimal parameter search process and record it.

[0074] S106. Record the final integral change process and display it online.

[0075] In this embodiment of the invention, firstly, a data acquisition module collects data from the current transformer, confirms the current direction, sets the transformation ratio, and stores the data. The collected data is filtered by a digital filter and wirelessly transmitted via an IoT device. Next, the integral output is collected in real time. Based on a preset formula, if the conditions are met, the integral is cleared, the number of integral recovery attempts is recorded, and if the number of attempts reaches a certain threshold, an integral direction change is initiated. After the direction change, the integral output is multiplied by a negative sign, and an optimization program is started. The integral quantity limit value is adjusted to form an optimization curve, which is then stored. Finally, the integral change process is analyzed to determine and solidify the optimal PI parameters. Simultaneously, the integral change process is visualized online in graphical form, enabling precise control and status monitoring of the power electronic equipment.

[0076] Figure 2 This is a flowchart illustrating the acquisition and storage of all current transformer data in a visual integral preservation method according to an embodiment of the present invention.

[0077] like Figure 2 As shown, in one or more embodiments, preferably, the step of collecting and storing all the current transformer data specifically includes:

[0078] S201. Confirm the direction of the current collected by the current transformer;

[0079] S202. Set the transformer ratio according to the current direction, collect data, and store it.

[0080] In this embodiment of the invention, the data acquisition is implemented as follows: In a visual integral hold system for proportional-integral control of power electronic equipment, a high-precision data acquisition module is used to acquire and store all transformer data. Specifically, the data acquisition module acquires the electrical signal data output by the transformers in real time through an electrical connection with the transformers. For example, in the operating system of a power electronic device, there are voltage transformers and current transformers. The data acquisition module can simultaneously acquire the voltage signal data output by the voltage transformer and the current signal data output by the current transformer, and temporarily store these data in the system's storage unit. During the acquisition process, the direction of the current acquired by the transformer is confirmed by a specific direction detection circuit. This direction detection circuit can be implemented based on the principle of electromagnetic induction or the Hall effect principle. Taking the principle of electromagnetic induction as an example, an induction coil is set in the secondary circuit of the current transformer, and the current direction is determined according to the polarity of the induced electromotive force generated by the induction coil. After confirming the current direction, the transformation ratio of the acquisition transformer is set according to the current direction, data is acquired, and stored. For example, when the current direction is confirmed to be positive, if the standard transformation ratio of the current transformer is 100:1, data is collected according to this ratio. The collected secondary current data is converted into the actual primary current data according to the transformation ratio and then stored. If the current direction is reversed, the data is collected, converted and stored according to the preset transformation ratio in the same way. This ensures that the collected data can accurately reflect the current status information of the power electronic equipment during operation, and provides a reliable data foundation for subsequent visualization and integral hold algorithm processing.

[0081] Figure 3 This is a flowchart illustrating the wireless transmission of data based on data acquisition in a visualization integral preservation method according to an embodiment of the present invention.

[0082] like Figure 3 As shown, in one or more embodiments, preferably, the wireless transmission of data based on data acquisition specifically includes:

[0083] S301. Filter all the data;

[0084] S302. Online data transmission via IoT devices.

[0085] In this embodiment of the invention, the implementation method for wireless data transmission based on data acquisition is as follows: After the visual integral hold system of proportional-integral control in power electronic equipment completes data acquisition, a dedicated data processing module is set up to filter all acquired data. This data processing module has a built-in digital filter, which is an algorithm module that processes signals through numerical calculations and can remove noise and interference components from the signal. For example, a finite impulse response (FIR) digital filter is used. Based on the frequency characteristics of the acquired data, an appropriate filter coefficient is set to process the acquired voltage, current, and other transformer data, eliminating noise signals generated by factors such as electromagnetic interference, and obtaining a smooth and accurate data sequence. After filtering, the data is transmitted online through an Internet of Things (IoT) device. The IoT device is a smart gateway that supports wireless communication protocols, such as gateway devices that support 4G / 5G, Wi-Fi, or Bluetooth communication protocols. Taking the 4G communication protocol as an example, the smart gateway encapsulates the filtered data according to a predetermined data format, establishes a connection with the operator's base station through the 4G communication module, and transmits the data to the remote monitoring center or cloud server in real time, realizing wireless data transmission. This enables relevant technicians to remotely obtain the operating data of power electronic equipment in real time, providing timely and accurate data support for subsequent visualization, integral retention algorithm analysis, and equipment operating status evaluation.

[0086] Figure 4 This is a flowchart illustrating an embodiment of the present invention of a visual integral preservation method for performing integral recovery control based on real-time acquired integral output and recording the number of integral recovery cycles.

[0087] like Figure 4 As shown, in one or more embodiments, preferably, the step of performing integral recovery control based on the real-time acquired integral output and recording the number of integral recovery cycles specifically includes:

[0088] S401. Real-time acquisition of integral output to determine the rate of change of integral deviation;

[0089] S402. If the integral value satisfies the first calculation formula, then the integral is cleared to zero.

[0090] S403. Record the number of integral recoverys. If the number of integral recoverys of the current integral parameter satisfies the second calculation formula, then initiate integral directional change.

[0091] First calculation formula:

[0092] PB > 0

[0093] PC > Plim

[0094] Where PB is the integral rate of change, PC is the integral deviation, and Plim is the integral limit;

[0095] The second calculation formula is:

[0096] JH=3

[0097] Where JH represents the number of integral recovery attempts.

[0098] In this embodiment of the invention, the implementation method for performing integral recovery control based on real-time acquired integral output and recording the number of integral recovery operations is as follows: In a visualized integral hold system for proportional-integral control of power electronic equipment, the integral output is acquired in real time through a high-precision sampling module, and a dedicated calculation unit is set up to determine the rate of change of integral deviation. Here, integral deviation refers to the difference between the current integral value and the target set value, and the rate of change of integral deviation is the amount of change of integral deviation per unit time. For example, during the operation of a power electronic device, the real-time acquired integral output data is continuously transmitted to the calculation unit, which calculates the integral deviation and the rate of change of integral deviation according to a preset algorithm. When the calculated rate of change of integral PB is greater than 0, and the integral deviation PC is greater than the preset integral limit Plim, the first calculation formula "PB > 0 and PC > Plim" is satisfied, and the system will perform an integral zeroing operation. For example, if at a certain moment the calculated rate of change of integral PB is 0.5, the integral deviation PC is 2, and the preset integral limit Plim is 1, the first calculation formula condition is satisfied, and the system will immediately clear the current integral value to zero to avoid integral saturation leading to control failure. After integral zeroing, the system records the number of integral recovery attempts (JH) using a counter. When the counter records 3 integral recovery attempts (JH) for the current integral parameter, satisfying the second calculation formula "JH = 3", the system initiates an integral reversal. For example, during equipment operation, when the integral zeroing operation occurs for the first time, JH is counted as 1; when it occurs again, JH is counted as 2; when it occurs a third time, JH reaches 3, and the system executes an integral reversal operation, changing the direction of the integral calculation to adapt to changes in the operating state of the power electronic equipment, ensuring the stability and accuracy of system control. Through this method, integral recovery control based on real-time acquired integral output is achieved, and the number of integral recovery attempts is accurately recorded, providing effective assurance for the proportional-integral control of power electronic equipment.

[0099] Figure 5 This is a flowchart illustrating the process of dynamically adjusting the direction of the integration parameters after initiating an integration direction change, according to an embodiment of the present invention, in a visual integration preservation method.

[0100] like Figure 5 As shown, in one or more embodiments, preferably, the step of dynamically adjusting the parameter direction of the integral after initiating the integral direction change specifically includes:

[0101] S501. After initiating integral directional change, the integral is dynamically adjusted and multiplied by a negative sign after the integral output;

[0102] S502: After multiplying the integral output by a negative sign, an optimization start signal is issued.

[0103] In this embodiment of the invention, the implementation method for dynamically adjusting the direction of the integral parameter after initiating the integral direction change is as follows: In the visualized integral hold system of proportional-integral control for power electronic equipment, when the system initiates the integral direction change according to the second calculation formula "JH=3" (JH is the number of integral recovery times), a dedicated parameter adjustment module is set up to dynamically adjust the direction of the integral parameter. Specifically, after the integral direction change is initiated, the parameter adjustment module automatically multiplies the output result of the integral operation by a negative sign, thereby changing the direction of the integral parameter. Here, "integral parameter direction" refers to the trend direction of the numerical change during the integral operation. After multiplying by a negative sign, the originally increasing integral value will become decreasing, and the originally decreasing integral value will become increasing. For example, when a power electronic device is running, the integral output value is originally 5. When the integral direction change is initiated, the parameter adjustment module multiplies the integral output value 5 by a negative sign, making it -5, thus changing the direction of the integral parameter. After completing the operation of multiplying the integral output by a negative sign, the system's built-in control unit will issue an optimization start command. "Initiation of optimization" refers to the system starting to execute optimization algorithms. By continuously adjusting integral parameters and other relevant variables, it seeks the optimal combination of control parameters for the operation of power electronic equipment, enabling the equipment to reach its optimal operating state. For example, based on the currently modified integral parameters, the system uses optimization algorithms such as genetic algorithms and particle swarm optimization to iteratively calculate and adjust the operating parameters of the power electronic equipment, such as voltage and current, gradually finding the parameter settings that maximize control accuracy and minimize energy consumption, thereby improving the overall performance and stability of the power electronic equipment. Through these steps, dynamic adjustment of the direction of integral parameters and optimization operations are achieved after the initiation of integral direction change, effectively optimizing the proportional-integral control process of power electronic equipment.

[0104] Figure 6 This is a flowchart illustrating the process of automatically performing visual integration adjustment, forming the optimal parameter search process, and recording it in a visual integration preservation method according to an embodiment of the present invention.

[0105] like Figure 6 As shown, in one or more embodiments, preferably, after starting the optimization process, automatically performing integral visualization adjustment to form an optimal parameter search process and recording it, specifically includes:

[0106] S601. Adjust the limit value of the integral quantity from 0 to 10000 to form the corresponding optimization curve in sequence;

[0107] S602. Store all optimization curves and automatically optimize parameters.

[0108] In this embodiment of the invention, the implementation method for automatically performing integral visualization adjustment and recording after starting the optimization program is as follows: In the visualization integral hold system of proportional-integral control for power electronic equipment, when the system issues a start optimization command, the automatic integral visualization adjustment module is immediately triggered to start working. This module gradually adjusts the limit value of the integral quantity in sequence from 0 to 10000. Each time the limit value is adjusted, the system calculates and analyzes the relevant parameters during the operation of the power electronic equipment based on the current integral parameters and the limit value, thereby forming a corresponding optimization curve. Here, the "optimization curve" refers to a curve plotted with the integral quantity limit value on the horizontal axis and the key indicators of the power electronic equipment operation (such as voltage stability, current efficiency, etc.) on the vertical axis, used to intuitively display the changing trend of the equipment operation indicators under different integral quantity limit values. For example, when the integral limit is set to 0, the system collects data such as voltage and current of the equipment under this limit, processes and calculates the equipment's operating indicators, and marks the corresponding coordinate points on the visualization interface. Then, the integral limit is adjusted to 100, the equipment's operating data is collected again, the indicators are calculated, and new coordinate points are marked. This process continues until the integral limit is adjusted to 10000, and all marked coordinate points are connected sequentially to form a complete optimization curve. After completing the above process, the system automatically stores all generated optimization curves. Storage methods can include database storage or file storage. For example, the optimization curve data can be stored in a table format in the system's built-in database, with each table corresponding to one optimization curve and containing data fields such as the integral limit value and equipment operating indicators. By storing these optimization curves, the system can record and analyze self-optimization parameters. Technicians can then view these stored optimization curves to intuitively understand the equipment's operation under different integral limit values, and further analyze the curves to derive the optimal parameters, providing data support and decision-making basis for the precise control and optimized operation of power electronic equipment.

[0109] Figure 7 This is a flowchart illustrating the process of integral change based on the final recorded data, and its online visualization, in a method for visualizing integral preservation according to an embodiment of the present invention.

[0110] like Figure 7 As shown, in one or more embodiments, preferably, the step of recording the final integral change process and visually displaying it online specifically includes:

[0111] S701. Based on the final recorded integral change process, select the optimal pi parameter and perform long-term solidification operation.

[0112] S702. Provide online visualization of the integral change process.

[0113] In this embodiment of the invention, the implementation method based on recording the final integral change process and visualizing it online, and selecting the optimal PI parameter for long-term fixed operation is as follows: In the visualized integral hold system for proportional-integral control of power electronic equipment, after adjusting the integral limit value from 0 to 10000 and forming the corresponding optimization curve and recording the self-optimization parameters, the system processes the data based on these finally recorded integral change process data. First, the system's data analysis module performs in-depth analysis on all stored optimization curves and integral change process data. Through a preset evaluation algorithm, it selects the optimal PI (proportional-integral) parameter from numerous combinations of integral parameters. The PI parameter is a key adjustment parameter in proportional-integral control; the proportional parameter is used to quickly respond to system deviations, and the integral parameter is used to eliminate system steady-state errors. For example, the evaluation algorithm comprehensively considers multiple indicators such as voltage fluctuation range, current stability, and energy consumption during the operation of the power electronic equipment, scores the operating performance of the equipment under different PI parameter combinations, and finally selects the PI parameter combination with the highest score as the optimal PI parameter. After determining the optimal PI parameters, the system uses a parameter solidification module to write these optimal PI parameters into the device's control chip, thus solidifying the parameters and enabling the power electronic equipment to operate stably for a long period based on these parameters. Simultaneously, the system's visualization module provides an online visual display of the integral change process. This visualization module uses web-based visualization technology to display key data during the integral change process, such as changes in the integral quantity limit, integral output at different stages, and fluctuations in equipment operating indicators, in intuitive graphical and chart formats on the monitoring interface in real time. For example, a line graph shows the trend of integral output changing with the integral quantity limit, and a bar chart compares the equipment's operating indicators under different PI parameters. Operators can access the system's monitoring page through a browser to view the entire integral change process in real time, thus clearly understanding the optimization process and final operating status of the power electronic equipment's control parameters. This facilitates monitoring and management of equipment operation, providing strong support for stable operation and performance optimization.

[0114] According to a second aspect of the present invention, a visual integral retention system is provided.

[0115] Figure 8 This is a structural diagram of a visual integral preservation system according to an embodiment of the present invention.

[0116] In one or more embodiments, preferably, the visual integral retention system includes:

[0117] The data acquisition module 801 is used to collect and store all the data from the current transformers to obtain the current transformer dataset.

[0118] The data transmission module 802 is used to filter the current transformer dataset and transmit the filtered data to the control terminal wirelessly.

[0119] The integral recovery module 803 is used to perform integral recovery control based on the real-time acquired integral output and record the number of integral recoverys. When the number of integral recoverys reaches a preset threshold, an integral direction change trigger signal is generated.

[0120] The integral direction-changing module 804 is used to initiate integral direction changing according to the integral direction-changing trigger signal, dynamically adjust the direction of the integral parameters, and obtain the integral parameters after direction adjustment.

[0121] The integral visualization self-adjustment module 805 is used to start the optimization program based on the integral parameters after the direction adjustment, automatically adjust the integral parameters and record the optimal parameter search process, and generate optimization result data.

[0122] The long-term operation module 806 is used to visualize the integral change curve online based on the integral change process in the optimization result data, and to solidify the optimal PI parameters.

[0123] In this embodiment of the invention, a system suitable for different structures is realized through a series of modular designs. This system can achieve closed-loop, reliable, and efficient execution through data acquisition, analysis, and control.

[0124] According to a third aspect of the present invention, a computer-readable storage medium is provided that stores computer program instructions thereon, which, when executed by a processor, implement the method as described in any one of the first aspects of the present invention.

[0125] According to a fourth aspect of the present invention, an electronic device is provided. Figure 9 This is a structural diagram of an electronic device according to one embodiment of the present invention. Figure 9 The electronic device shown is a general-purpose visual integral holding device. For example... Figure 9 As shown, the electronic device 900 includes a central processing unit (CPU) 901, which can perform various appropriate actions and processes according to computer program instructions stored in read-only memory (ROM) 902 or loaded from storage unit 908 into random access memory (RAM) 903. The RAM 903 may also store various programs and data required for the operation of the electronic device 900. The CPU 901, ROM 902, and RAM 903 are interconnected via bus 904. An input / output (I / O) interface 905 is also connected to bus 904.

[0126] Multiple components in electronic device 900 are connected to I / O interface 905, including: input unit 906, output unit 907, and storage unit 908. Processing unit 901 executes the various methods and processes described above, such as the methods described in the first aspect of embodiments of the present invention. For example, in some embodiments, the methods described in the first aspect of embodiments of the present invention can be implemented as computer software programs stored in a machine-readable medium, such as storage unit 908. In some embodiments, part or all of the computer program can be loaded and / or installed on electronic device 900 via ROM 902 and / or communication unit 909. When the computer program is loaded into RAM 903 and executed by CPU 901, one or more operations of the methods described in the first aspect of embodiments of the present invention can be performed. Alternatively, in other embodiments, CPU 901 can be configured to perform one or more operations of the methods described in the first aspect of embodiments of the present invention by any other suitable means (e.g., by means of firmware).

[0127] The technical solutions provided by the embodiments of the present invention may include the following beneficial effects:

[0128] In this solution, by collecting transformer data in real time, dynamically adjusting integral parameters and performing self-optimization, combined with a precise integral recovery control strategy, the problems of integral saturation and response lag can be effectively avoided, thereby significantly improving the control accuracy of power electronic equipment and ensuring the stability of equipment operation.

[0129] This solution utilizes wireless data transmission and online visualization to intuitively present the integral change process, while also fixing the optimal PI parameters. This allows operators to monitor equipment status in real time, quickly obtain key information, and significantly improve equipment management efficiency and maintenance convenience.

[0130] Those skilled in the art will understand that embodiments of the present invention can be provided as methods, systems, or computer program products. Therefore, the present invention can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present invention can take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage and optical storage) containing computer-usable program code.

[0131] This invention is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, generate instructions for implementing the flowchart illustrations and / or block diagrams. Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.

[0132] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1 The function specified in one or more boxes.

[0133] These computer program instructions may also be loaded onto a computer or other programmable data processing equipment to cause a series of operational steps to be performed on the computer or other programmable equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable equipment for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.

[0134] Obviously, those skilled in the art can make various modifications and variations to this invention without departing from its spirit and scope. Therefore, if these modifications and variations fall within the scope of the claims of this invention and their equivalents, this invention also intends to include these modifications and variations.

Claims

1. A method for visualizing integral preservation, characterized in that, The method includes: Collect and store all the current transformer data to obtain the current transformer dataset; The current transformer dataset is filtered, and the filtered data is transmitted wirelessly to the control terminal. Based on the real-time collected integral output, recovery control is performed on the integral and the number of integral recovery is recorded. When the number of integral recovery reaches a preset threshold, an integral direction change trigger signal is generated. Based on the integral direction change trigger signal, the integral direction change is initiated, and the direction of the integral parameters is dynamically adjusted to obtain the integral parameters after the direction adjustment. Based on the integral parameters after the direction adjustment, the optimization program is started, the integral parameters are automatically adjusted and the process of finding the optimal parameters is recorded, and optimization result data is generated. Based on the integral change process in the optimization result data, the integral change curve is visualized online, and the optimal PI parameter is fixed.

2. The visualization integral preservation method as described in claim 1, characterized in that, The process of collecting and storing all current transformer data to obtain a current transformer dataset specifically includes: Confirm the direction of the current collected by the current transformer; The transformer ratio is set according to the current direction, data is collected, and stored.

3. The visualization integral preservation method as described in claim 1, characterized in that, The step of filtering the current transformer dataset and transmitting the filtered data wirelessly to the control terminal specifically includes: Filter all the data; Data is transmitted online via IoT devices.

4. The visualization integral preservation method as described in claim 1, characterized in that, The system performs recovery control on the integral output based on real-time acquisition and records the number of integral recovery cycles. When the number of integral recovery cycles reaches a preset threshold, an integral direction change trigger signal is generated, specifically including: Real-time acquisition of integral output to determine the rate of change of integral deviation; If the integral value satisfies the first calculation formula, then the integral is reset to zero; Record the number of integral recovery attempts. If the number of integral recovery attempts for the current integral parameter satisfies the second calculation formula, then initiate integral directional change. First calculation formula: PB > 0; PC > Plim; Where PB is the integral rate of change, PC is the integral deviation, and Plim is the integral limit; The second calculation formula is: JH = 3; Where JH represents the number of integral recovery attempts.

5. The visualization integral preservation method as described in claim 1, characterized in that, The step of initiating integral direction change based on the integral direction change trigger signal, dynamically adjusting the direction of the integral parameters, and obtaining the integral parameters after direction adjustment specifically includes: After initiating the integral directional change, the integral is dynamically adjusted and multiplied by a negative sign after the integral output; After multiplying the integral output by a negative sign, a command to start optimization is issued.

6. The visualization integral preservation method as described in claim 1, characterized in that, Based on the integrated parameters adjusted in the direction, the search optimization program is initiated, automatically adjusting the integrated parameters and recording the optimal parameter search process, generating optimization result data, specifically including: The limit value of the integral is adjusted from 0 to 10000, and the corresponding optimization curve is formed in sequence. Store all optimization curves and automatically optimize parameters.

7. The visualization integral preservation method as described in claim 1, characterized in that, The step of visually displaying the integral change curve online based on the integral change process in the optimization result data and fixing the optimal PI parameter specifically includes: Based on the final recorded integral change process, the optimal pi parameter is selected for long-term solidification. The process of integral change is visualized online.

8. A visual integral retention system, characterized in that, The system is used to implement the method as described in any one of claims 1-7, the system comprising: The data acquisition module is used to collect and store all the data from the current transformers to obtain the current transformer dataset. The data transmission module is used to filter the current transformer dataset and transmit the filtered data to the control terminal wirelessly. The integral recovery module is used to perform recovery control on the integral based on the real-time acquired integral output and record the number of integral recoverys. When the number of integral recoverys reaches a preset threshold, an integral direction change trigger signal is generated. The integral direction-changing module is used to initiate integral direction changing according to the integral direction-changing trigger signal, dynamically adjust the direction of the integral parameters, and obtain the integral parameters after direction adjustment. The integral visualization self-adjustment module is used to start the optimization program based on the integral parameters after the direction adjustment, automatically adjust the integral parameters and record the optimal parameter search process, and generate optimization result data. The long-term operation module is used to visualize the integral change curve online based on the integral change process in the optimization result data, and to solidify the optimal PI parameters.

9. A computer-readable storage medium storing computer program instructions thereon, characterized in that, The computer program instructions, when executed by a processor, implement the method as described in any one of claims 1-7.

10. An electronic device comprising a memory and a processor, characterized in that, The memory is used to store one or more computer program instructions, wherein the one or more computer program instructions are executed by the processor to implement the method as described in any one of claims 1-7.

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